A Cross Layer Model to Support QoS for Multimedia Applications on Wireless Networks

Supporting multimedia application over wireless networks poses multiple challenges. Currently the use of cross layer architectures and Scalable Video Coding ( ) techniques are considered to support multimedia applications. The current architectures fail to address the tradeoff that exists between the end to end delay and the Quality of Service ( ) provisioning of the video data to be delivered. To address this issue this paper introduces the improvement scheme in video transmission model based on a cross layer architecture. A novel encoding of the SVC video is considered in the proposed model. Based on the physical layer conditions and the achievable the model adapts to meet the stringent delay requirements of video delivery. Routing layer optimization is achieved by accounting for the pending packets queues in every neighboring node. The experimental study conducted prove the robustness of the proposed model by comparing with the existing schemes. Comparisons in terms of the transmission error rates, system utility and quality of reconstruction are presented

A solution to efficient power allocation for H.264/SVC video transmission over a realistic MIMO channel using precoder designs

International audienceIn this paper we propose a novel scheme for real time SVC-based video transmission over MIMO channels in the context of Joint Source Channel Coding (JSCC). This scheme compares the transmission of the H.264/SVC video over four precoder solutions, namely Max-SNR, WF, QoS and E-dmin. We exploit the high flexibility of the QoS precoder to minimize the total distortion of the received video. The proposed adaptive QoS precoder takes into account the scalability of the H.264/SVC standard jointly with the instantaneous MIMO channel statue. Finally, the proposed scheme is evaluated over both statistical and time Optimal power allocation varying realistic MIMO channels. This study provides the performance of these four precoder designs in term of BER, ML decoder complexity and the quality of the received video. We show that the precoder solutions providing the best BER MIMO channels performance are not usually the most appropriate for real time video transmission. However, the adaptive QoS precoder which uses three configurations, by considering both the importance of the video bit-QoS precoder stream and the channel statue, provides the best Rate-Distortion performance regardless the channel conditions. We assess the accuracy of these four precoder solutions against channel estimation errors over time varying realistic MIMO channel. The results shows that the adaptive QoS precoder remains robust against channel estimation errors even at high mobility speed